Job Type
Job Details
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
- Experience using data to proactively identify opportunities, mitigate risks, and take on the highest quality and reliability for GPUs.
- Experience in data management - data quality and data governance, Data architecture and Data modeling.
- Experience in driving reliability of large scale infrastructure using data driven insights and Machine learning.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Compute Engine is the foundation of Google Cloud Platform and provides Infrastructure as a Service to Google Cloud customers. GCE Telemetry team plays a critical role in providing customers, the information and tools necessary to understand and improve the overall observability of the compute instances. GCE Telemetry services team collects and stores large scale and real time VM Telemetry data from the entire GCE fleet.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
- Own and build technical roadmap of GCE fleet observability and reliability based on data driven analysis.
- Act as a subject matter expert in AI/ML, driving innovation in GCE observability to meet the demands of our growing scale and customer base.
- Partner effectively with internal customers, SREs, product managers, and project managers to align priorities and manage staffing needs.
- Define key business metrics and SLOs, and implement robust processes and tools to maintain them. Establish and promote data best practices throughout GCE.
- Coach, mentor, and support team members at all levels in their career development.
